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Sy-Miin Chow; Jungmin Lee; Jonathan Park; Prabhani Kuruppumullage Don; Tracey Hammel; Michael N. Hallquist; Eric A. Nord; Zita Oravecz; Heather L. Perry; Lawrence M. Lesser; Dennis K. Pearl – Journal of Statistics and Data Science Education, 2024
Personalized educational interventions have been shown to facilitate successful and inclusive statistics, mathematics, and data science (SMDS) in higher education through timely and targeted reduction of heterogeneous training disparities caused by years of cumulative, structural challenges in contemporary educational systems. However, the burden…
Descriptors: Individualized Instruction, Instructional Design, Science Education, Higher Education

Selim, S. E. – Computers and Education, 1982
Describes a computer-assisted scheduling algorithm for college courses and faculty. The method considers such issues as availability of lecturers, preferred times for courses, and time conflicts. Samples of the schedules are included. (JJD)
Descriptors: Algorithms, College Faculty, Computer Oriented Programs, Flexible Scheduling

Arganbright, Deane E. – College Mathematics Journal, 1984
How to use the electronic spreadsheet (e.g., VisiCalc) creatively is discussed, with computer printouts for a number of algorithms. (MNS)
Descriptors: Algorithms, College Mathematics, Computer Oriented Programs, Computer Programs
Creative Computing, 1980
This reprint of a Project Solo curriculum module discusses graphing by computer, gives an example of a BASIC program used to graph a second degree polynomial, and provides suggested exercises in programing. (MK)
Descriptors: Algorithms, Computer Graphics, Computer Oriented Programs, Computer Programs
Alexander, George – Mosaic, 1983
When problems defy solution, mathematicians can settle for "almost." This branch of mathematics (called computational complexity) encompasses both the number of parts involved in a problem and the intricacy of their interrelatedness. Current research in this area is discussed, considering various computer applications involved. (JN)
Descriptors: Algorithms, College Mathematics, Computation, Computer Oriented Programs

Selim, S. M. – Computers and Education, 1983
Describes an improved method for solving typical timetabling problems which was developed for the American University in Cairo. The article outlines the 26-step algorithm, indicates computer storage requirements, shows how the algorithm copes with conflicts, and explains how to obtain the final output in convenient format. (EAO)
Descriptors: Algorithms, Computer Oriented Programs, Foreign Countries, Higher Education

Murphy, Michael J.; And Others – Simulation and Games, 1982
Describes NEGOTIATE, an interactive computer model that synthesizes bargaining theories into algorithmic functions capable of simulating complex labor relations. The models employed in the simulation, the instructional dimension of NEGOTIATE, and various applications of the game are discussed. A seven-item reference list is included. (Author/JL)
Descriptors: Algorithms, Collective Bargaining, Computer Oriented Programs, Decision Making
Garrett, Herbert E. – MATYC Journal, 1979
The role of the computer in coordinating the activities surrounding five modes of mathematics instruction is discussed. The modes are: computer-assisted instruction, computer-managed instruction, computer-based simulations, algorithmic exercise solving, and computer-aided problem solving. (MP)
Descriptors: Algorithms, College Mathematics, Computer Assisted Instruction, Computer Oriented Programs

Raucher, Steve M. – AEDS Journal, 1974
Using IBM's EPIC:SOCRATES as a vehicle, this paper examines the general work flow of a master schedule generator, the required and optional data necessary to drive such a system, the human methodology of linking data and controlling the system, and the actual algorithmic approach used by the computer. (Author)
Descriptors: Algorithms, Computer Oriented Programs, Databases, Flexible Scheduling

Bishop, W. – International Journal of Mathematical Education in Science and Technology, 1976
The merits of having students interact with the computer rather than use canned programs to solve problems are discussed. Examples are provided. (SD)
Descriptors: Algorithms, College Mathematics, Computer Oriented Programs, Higher Education

Gelovan, Viktor – Impact of Science on Society, 1981
Proposes a problem-oriented, man-machine modelling process which combines algorithms and software to assist decision makers and planners in dealing with complex socio-economic issues. Includes the specific parts in each of the system's three basic elements: a library, special units, and system control units. (Author/DC)
Descriptors: Algorithms, Computer Oriented Programs, Economics, Environmental Education

Waits, Bert K.; Demana, Franklin – College Mathematics Journal, 1990
The rule of 78 is used by banks and loan companies to compute the amounts due when installment loans are paid early. Describes an unexpected case of negative amortization when the rule is applied. Presents an actual problem and discusses the case. (YP)
Descriptors: Algorithms, College Mathematics, Computation, Computer Oriented Programs

Summers, M. K. – Physics Education, 1978
Defines all recurrence relations used in the Nuffield course, to solve first- and second-order differential equations, and describes a typical algorithm for computer generation of solutions. (Author/GA)
Descriptors: Algorithms, Atomic Theory, College Science, Computer Oriented Programs

Atkins, John; Geist, Robert – College Mathematics Journal, 1987
The Fibonacci Sequence describes a vast array of phenomena from nature. Computer scientists have discovered and used many algorithms which can be classified as applications of Fibonacci's sequence. In this article, several of these applications are considered. (PK)
Descriptors: Algorithms, College Mathematics, Computer Assisted Instruction, Computer Oriented Programs
Gordon, Sheldon P. – 1977
The so-called discrete approach in calculus instruction involves introducing topics from the calculus of finite differences and finite sums, both for motivation and as useful tools for applications of the calculus. In particular, it provides an ideal setting in which to incorporate computers into calculus courses. This approach has been…
Descriptors: Algorithms, Calculus, Computer Oriented Programs, Course Descriptions
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